Abstract

Identifying emergency department (ED) patients who are at high risk for return visits is an important goal for case management to improve patient care. This quality improvement study describes the development and evaluation of the Emergency Department Case Management Priority Score (EDCMPS), an electronic medical record (EMR)-based "case-finding" system, and its ability to identify these high-risk patients. In addition, the authors present data about its acceptability among emergency department case managers (ED CMs). Emergency departments with case management availability and staffing. A retrospective analysis at Duke University Hospital ED compared patient data pre- and postimplementation of the EDCMPS. The tool was developed using the LEAN and Plan-Do-Study-Act (PDSA) quality improvement methodologies, with ED CM participation. ED return and hospitalization rates within 7 and 30 days between both methods were compared, and a survey evaluated CM satisfaction with the EDCMPS. The 2-month preintervention period (July 1, 2022, to August 31, 2022) included 8,677 patients discharged from the ED, with 897 patients (10.3%) identified as at high risk for return based on the previous manual methodology. In the 3-month postintervention period (September 1, 2022, to November 30, 2022), there were 13,566 patients discharged, with 692 patients (5.1%) identified as at high risk for return using the EDCMPS. The EDCMPS outperformed the manual method, yielding a significantly higher odds ratio (OR) for 7- and 30-day ED return or hospitalization (e.g., 30-day any return OR = 4.21 vs. 1.69). The survey showed broad ED CM agreement on the tool's superior performance, especially in organizing outpatient resources and referring to support programs. However, challenges in securing primary care follow-up, housing, and health insurance applications were identified. The tool's collaborative development approach ensured its fit to ED CM needs, contributing to its success. The EDCMPS showcases promise in enhancing ED CM efficiency, with strong frontline staff endorsement. It pinpoints areas needing focus for patient support and has the potential to reduce ED revisits and therefore health care utilization. Its methodology offers insights for similar future implementations in health care institutions.

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